Marketing Task

Find new ad angles from real customer evidence

Turn customer problems, motivations, objections, and desired outcomes into distinct creative hypotheses that a person can verify and test.

“This is costing me acquisition efficiency and production time while the team guesses what to make next.”

The result to work towards

Create a continuing set of distinct angle hypotheses with traceable customer evidence, clear claim boundaries, and useful creative briefs.

The situation

The work is costly. A clearer route can change it.

When it starts
Acquisition costs worsen, the creative pipeline slows, or repeated hooks stop producing useful tests.
What makes it difficult
The team needs a genuinely different customer angle, but evidence is scattered across reviews, support conversations, interviews, and campaign notes.
What progress looks like
Each selected angle names a distinct customer tension, links to reviewed evidence, states its claim limits, and produces a testable brief.

Next useful action

Build an evidence-backed customer-angle matrix

Produce distinct ad-angle hypotheses with traceable customer evidence, safe claim boundaries, and a human-reviewed brief for each test.

Open the practice

Boundaries

Keep the first release narrow.

  • Use customer material that the organisation is allowed to analyse for this purpose.
  • Remove names, email addresses, order numbers, and other direct identifiers before using AI or shared spreadsheets.
  • Keep every extracted theme and angle linked to source evidence that a person can inspect.
  • Treat discovery, creative expression, and asset variation as separate decisions.
  • Do not turn customer language into an objective advertising claim without suitable support and review.
  • Use a small consented survey only when existing customer evidence leaves a defined gap.
  • Require human review before an angle enters a creative brief or advert.

Research basis

Inspect the material behind this Task.

The source set combines official product documentation with general AI risk guidance.

Edited by MarioReviewed 18 September 2026